
Lead Decisioning Architect
4 weeks ago
Role : Lead Decisioning Architect
Location : Gurugram, India
Type : Permanent
Shift Timings : 2 PM to 11 PM IST
Required Certification : CPDC
Mandate Skill : CDH experience should be more than 5 years.
Job Description :
Responsibilities :
- Take a leadership role in Designing and architecting the Pega Decisioning solutions that align with business objectives, ensuring scalability, performance, and maintainability.
- Leads the development and implementation of decisioning strategies that leverage machine learning, predictive analytics, and complex business rules to optimize customer interactions and business outcomes.
- Leads the effort in defining, configuring, and optimizing complex business rules, decision logic, and decision tables within Pega Decisioning to align with business requirements and compliance standards.
- Leads the development and management of adaptive and predictive models within the Pega Decisioning platform, continually improving accuracy and effectiveness.
- Oversees the integration of data from various sources, including customer data, transactional data, and external data providers, to enable data-driven decision-making
- Collaborates with business stakeholders, data scientists, developers, and other teams to ensure successful implementation and continuous optimization of decisioning solutions
- Oversees the monitoring, analysis and fine-tuning of decisioning strategies to improve efficiency, responsiveness, and overall performance and ensures adherence to regulatory and compliance standards.
- Creates and maintains comprehensive documentation related to advanced decisioning strategies, models, and configurations.
Required Skills & Other Attributes :
- Excellent interpersonal skills and the ability to communicate, partner, and collaborate.
- Dedication to achieving outstanding results. Driven and team-oriented with a demonstrated ability to lead by example.
- Able to pick up new concepts and technology rapidly; able to explain it to both business & IT stakeholders.
- Strong expertise in data analysis, machine learning, predictive modeling, and complex business rule development.
- Exceptional problem-solving and analytical skills.
- Able to work in teams as well as independently.
- Advanced understanding and knowledge of SQL.
(ref:hirist.tech)
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